Supporting dataset of the aritcle :Underneath Social Media Texts: Sentiment Responses to Public Health Emergency During 2022 COVID-19 Pandemic in China

The data were obtained from Weibo, and the texts were crawled using a Python tool: Weibo crawler tool. The data contains time, text content, user address, etc.

Subsequently, Cleaned weibo data was obtained after cleaning operation in Excel. According to the improved Chinese sentiment lexicon, the sentiment analysis tool was used to analyze the text for sentiment analysis, to derive the main sentiment and sentiment scores, and the result file is Sentiment analysis results. Finally, ADF and KPSS analysis tools were used to analyze the stability of sentiment scores in different cities.The weibo text and sentiment analysis results data in the dataset are in .xlsx format, and the rest of the tools are Python code.Crawled data is limited by time, specific search terms and other restrictions, different operation time and terms may lead to differences in the data.